Data Jobs analysis from seek.com.au search

I created an azure function to download daily a search I did on seek.com.au using the python package job-seeker.

You can find more about job-seeker here

Just to give a bit of context.

I do a daily search using job-seeker with the term "data analyst" and only search jobs in "Adelaide SA" where I live.

Did a bit of data analysis and look what I have found.

create a series of function to clean text of information about salary that we can analyise for example the text "up to $140K pkg (inc super) dep. on exp." to become -> 140,000

Plotting data

- Only 47 jobs are realy data jobs, which is about ~7% of the total of the seek search
- Data jobs are on average better paid that "other" jobs 
- Only 5 Data Scientist job and 5 Data Engineer jobs all rest were somewhat related to data but not the "rare skill" category.
- Data Scientist is really well paid.
- No Data Engineer ad had salary to compare
- Most of the adds has duration of 30 days
- Although 152 advertised salary only 129 the parser could extract data to analyse
- Not many companies had ratings and also advertised salary enough to spot any correlation of good salary and good rating.

Findings

  - Only 47 jobs are realy data jobs, which is about ~7% of the total of the seek search
  - Data jobs are on average better paid that "other" jobs 
  - Out of the Data Jobs only 5 Data Scientist job and 5 Data Engineer jobs all rest were somewhat related to data but not the "rare skill" category.
  - Data Scientist is really well paid.
  - No Data Engineer ad had salary to compare
  - Most of the ads has duration of 30 days
  - Although 152 advertised salary only 129 the parser could extract data to analyse
  - Not many companies had ratings and also advertised salary enough to spot any correlation of good salary and good rating.
  - There are not as many Data Jobs out there as I thought it was by making a search using seek.